This skill converts text to high-quality audio files using ElevenLabs API. Use this skill when users request text-to-speech generation, audio narration, or voice synthesis with customizable voice parameters (stability, similarity boost) and voice presets (rachel, adam, bella, elli, josh, arnold, ava).
npx skills add https://github.com/glebis/claude-skills --skill elevenlabs-tts
Generate professional audio files from text using ElevenLabs' advanced text-to-speech API. The skill provides pre-configured voice presets with sensible defaults, voice parameter customization, and direct access to the scripts/elevenlabs_tts.py script for programmatic control.
To generate audio from text:
.env file contains a valid ELEVENLABS_API_KEYpython scripts/elevenlabs_tts.py "Your text here"python scripts/elevenlabs_tts.py "Text" --voice adam --output audio/output.mp3Seven pre-configured voices are available. See references/api_reference.md for complete voice descriptions:
rachel (default) - Clear, professional femaleadam - Deep, authoritative malebella - Warm, friendly femaleelli - Young, enthusiastic femalejosh - Friendly, conversational malearnold - Deep, powerful maleava - Expressive, dynamic femaleThe text to convert to speech. Any length is supported.
Specify voice using preset name (e.g., rachel, adam) or direct ElevenLabs voice ID.
Specify the output file path. Default is output.mp3. Directories are created automatically.
from scripts.elevenlabs_tts import generate_speech
path = generate_speech(
text="Hello, this is a test message",
voice_id="rachel"
)
# With default voice
python scripts/elevenlabs_tts.py "Generate this text"
# With custom voice and stability
python scripts/elevenlabs_tts.py "Different voice" --voice adam --stability 0.7
# To custom output path
python scripts/elevenlabs_tts.py "Save here" --output audio/narration.mp3
# List available voices
python scripts/elevenlabs_tts.py "" --list-voices
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Take glebis/elevenlabs-tts from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.